Summary

The model receives the prompt (and optional system message). The run uses scorer contains_all with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.

Summarize in exactly 4 short bullet points:
A platform team improved release safety by introducing budget alerts, error budget policy, and feature flags across critical services. They documented ownership, ran weekly reliability reviews, and tracked availability to verify impact over time.

{
  "expected_contains": [
    "budget alerts",
    "error budget policy",
    "feature flags",
    "availability"
  ]
}